Benchmarking of hierarchical bayesian model aggregation, xgboost and optimal band ratio analysis (OBRA) models for total suspended sediments retrieval from remote sensing

Benchmarking of hierarchical bayesian model aggregation, xgboost and optimal band ratio analysis (OBRA) models for total suspended sediments retrieval from remote sensing

In remote sensing of water quality, the use of data-driven models for the retrieval of water quality parameters has been gaining traction in recent years, especially with the recent advancement in machine learning (ML). The application of deep learning ML models on satellite imageries for retrieving...

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Bibliographic Details
Main Authors: Pak, Hui Ying, Law, Adrian Wing-Keung, Lin, Weisi
Other Authors: Interdisciplinary Graduate School (IGS)
Format: Conference Paper
Language:English
Published: 2023
Subjects:
Engineering::Civil engineering::Water resources
Engineering::Environmental engineering::Environmental protection
Bayesian Model Aggregation
Remote Sensing
Water Quality Monitoring
Online Access:https://hdl.handle.net/10356/156772
https://cmswebonline.com/iahr2022/epro/html/stheme-06-09.html

Internet

https://hdl.handle.net/10356/156772
https://cmswebonline.com/iahr2022/epro/html/stheme-06-09.html

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